AI Developer Productivity Engineer (Machine Learning)

TL;DR

AI Developer Productivity Engineer (Machine Learning): Architecting and implementing LLM-powered solutions to enhance developer productivity with an accent on intelligent code assistance and automation. Focus on designing systems for bug detection, security assessments, and optimizing engineering workflows.

Location: On-site in Foster City, CA

Salary: $172,000 - $263,000 a year

Company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.

What you will do

• Architect and implement LLM-powered solutions using both commercial providers like AWS bedrock and open-source models like Llama
• Build tools that aim to improve engineer productivity by 10x through intelligent code assistance, automated code review, and context-aware documentation generation
• Develop systems to automate mundane development tasks like boilerplate generation, test creation, and code refactoring
• Create intelligent workflows that leverage LLMs for bug detection, security vulnerability assessment, and code optimization
• Bridge the divide between developers' needs and infrastructure solutions while establishing best practices for responsible AI integration in our development pipeline

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 3+ years of industry experience.
• Solid experience as a full-stack or backend developer, showcasing a deep understanding of system design, data structures, and algorithms.
• Fluency in at least one of the following languages: Python or C++.
• Experience with LLM evaluation metrics and performance optimization
• Knowledge of using embedding models and vector databases